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The Blending Process Control And Intelligent Optimization System Design And Application

Posted on:2008-03-28Degree:MasterType:Thesis
Country:ChinaCandidate:C B LiFull Text:PDF
GTID:2208360215985885Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
During blast furnace production, coke is not only used for smelting process as a fuel, but also used for deoxidizing iron from terric oxide. At the same time coke ensure blast furnace breathe freely. So, it is very important to control the quality of coke.In the view of the coal blending and coking process mechanism, this control system structure was put forward based on system needs and introduce the system course. The control system includes the configuration and the function.The coal blending and coking process is of complexity and there are many parameters need to monitor.QUANTUM series PLC of MODICON Company is used to measure these parameters including the weight and the location of the storehouse. IFIX control system is used to supervise information and heating process. This paper present an coal blending and coking intelligent optimization model, this paper present building a quality forecasting model of mixed coal on the basis of principle analysis: and build the quality forecasting model of coke using BP neural network; based on given mixed coal and coke quality index, quality index of every single coal and coal blending and coking condition, this paperbuilt rate calculating and optimizing model using simulated annealing algorithm according to certain restriction condition of cost and storage. The optimized coal blending rate and coal blending solution can be obtained by this model。This paper also discusses the control system realization, including process configuration realization and process realization. The data communication methods between the PLC system and IFIX system, also between IFIX system and control software, were also discussed. The configuration of control system was completed by use of IFIX and control software was implemented with the VC++ language and the block programming. The application software communicated with the configure software with help of the OPC technology. The control system has been applied in the factory. The result of real-time control shows the system is advanced and accord with industrial fact. The system has a great significe to improve the quality of the coke, reduce the production costs. At the same time, the system creates huge economic and social benefit.
Keywords/Search Tags:PLC, Automatic blending coal, Configuration software, Neural network, Intelligent optimize
PDF Full Text Request
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